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DTSTART:20230101T000000
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DTSTART;TZID=UTC:20240925T100000
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DTSTAMP:20240926T124350Z
CREATED:20240826T103608Z
LAST-MODIFIED:20240926T124350Z
UID:52470-1727258400-1727262000@www.eit.edu.au
SUMMARY:Advancements in Computational Fluid Dynamics
DESCRIPTION:The live presentation of this event has already taken place. \nPlease view the PDF slides here or watch the video recording below:\n \nWebinar details\nRecent advancements in computational fluid dynamics (CFD) have been significantly driven by software innovations that enhance simulation accuracy\, efficiency\, and accessibility. Modern CFD software now leverages high-performance computing (HPC) and cloud-based platforms\, enabling engineers to solve complex fluid flow problems more quickly and with greater precision. These tools are increasingly utilizing adaptive mesh refinement (AMR) techniques\, which dynamically adjust the resolution of the simulation grid based on the flow characteristics\, allowing for finer details in critical regions while conserving computational resources. Additionally\, the integration of machine learning algorithms into CFD workflows has improved the ability to predict turbulent flows and optimize designs by reducing the need for exhaustive trial-and-error simulations. \nMoreover\, the development of user-friendly interfaces and the rise of open-source platforms has broadened the accessibility of these tools beyond traditional experts. Software packages like OpenFOAM and commercial options such as ANSYS Fluent and COMSOL Multiphysics have incorporated more intuitive graphical user interfaces (GUIs)\, automated setup processes\, and comprehensive libraries of pre-configured models. This has empowered a wider range of industries and researchers to adopt CFD for applications ranging from aerospace and automotive to environmental modelling and biomedical engineering. The ongoing trend towards Multiphysics simulations\, where CFD is integrated with other physical phenomena like structural mechanics or heat transfer\, also reflects the growing sophistication and versatility of modern CFD software. \n\nThe webinar will be recorded and will be sent out to registered attendees afterwards.\nA certificate of attendance will be provided to attendees who request one near the end of the live webinar session.\nPlease note: the time stated on this event is in UTC. You will need to convert this to your own time zone.\n\nKey takeaways from this webinar\n\nAwareness of the latest developments in the field of computational fluid dynamics.\nIntroduction to high performance computing systems for CFD analysis.\nRole of Machine learning and AI in computational simulations.\nRole of CFD simulations in Multiphysics simulations conducted in industry.\n\nRelated courses\nThis webinar/topic relates to our school of Mechanical Engineering\, particularly found in the following courses: \n\nProfessional Certificate of Competency in Digital Twins and Simulation Monitoring\nGraduate Certificate in Mechanical Engineering\nGraduate Diploma of Engineering (Mechanical)\n52884WA Advanced Diploma of Mechanical Engineering Technology\nOnline – Bachelor of Science (Mechanical Engineering)\nOnline – Master of Engineering (Mechanical)\n\nAbout the presenter\n \nMr. Vijay Kumar Veera\, EIT Lecturer and Senior CFD Engineer \nVijay Kumar Veera is a qualified Aerospace Engineer with over 13 years of experience in using CFD methodologies to simulate industrial and academic problems. He has obtained an M.Phil degree in Engineering from Cambridge University in UK and has M.Tech and B.Tech degrees from Indian Institute of Technology in Bombay and Madras respectively. His expertise is in capturing Fluid flow phenomena using computational methods. He has worked with major organizations in Australia and UK with Red Bull F1\, Mercedes F1\, Boeing\, Airbus\, Thales\, DSTO\, Fisher & Paykel some of the notable clients. \nIn his current role as a Unit lecturer and Course Coordinator at EIT\, he has been instrumental in developing lecture materials for teaching Advanced fluid dynamics and Aerodynamics units for students pursuing Master of Mechanical Engineering. His passion is in teaching computational fluid dynamic techniques for solving real world problems\, which are becoming highly popular with professional engineers wanting to advance their careers to the next level. He is a passionate educator and an advocate for using real world examples in the classroom.
URL:https://www.eit.edu.au/event/advancements-in-computational-fluid-dynamics/
LOCATION:Online
CATEGORIES:Technical Engineering Topics Webinar
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